Simulation Study on Extraction of Ship Axle Frequency Electric Field Characteristics

被引:0
作者
Gu, Zeyue [1 ]
Huang, Xiangke [1 ]
机构
[1] Naval Submarine Acad, Dept Salvage & Rescue, Qingdao, Shandong, Peoples R China
来源
2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015) | 2015年
关键词
harmonic wavelet; wavelet packet; adaptive; axle frequency electric field;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Ships shaft-rate electric field can be used as a criterion identifying the type of ship, which the mine weapons use, affect the ship safety, so the shaft-rate electric field feature extraction is very significant. In order to extract ship extremely low frequency electric field, and extract the useful frequency components in the signal by infinitely segmenting the whole band adaptively, this paper puts forward the optimal packet adaptive algorithm of harmonic wavelet. By using the algorithm to complete the shaft frequency feature extraction, the simulation results show that the proposed algorithm can effectively extract the ship shaft frequency signal, and does not require the accurate estimation of the analyzed signal frequency range, but only depends on the composition of the signal itself rather than frequency limit.
引用
收藏
页码:524 / 527
页数:4
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